Stability analysis of stochastic Markovian jump neural networks with different time scales and randomly occurred nonlinearities based on delay-partitioning projection approach
DOI10.1155/2013/212469zbMath1291.60117OpenAlexW2156027217WikidataQ58915568 ScholiaQ58915568MaRDI QIDQ2015228
Yongqing Yang, Jianmin Duan, Manfeng Hu, Liu-Xiao Guo
Publication date: 23 June 2014
Published in: Abstract and Applied Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/212469
Stochastic ordinary differential equations (aspects of stochastic analysis) (60H10) Stability theory of functional-differential equations (34K20) Stochastic functional-differential equations (34K50) Continuous-time Markov processes on discrete state spaces (60J27) Multiple scale methods for ordinary differential equations (34E13)
Cites Work
- Unnamed Item
- Stability analysis of static recurrent neural networks using delay-partitioning and projection
- Stability of impulsive neural networks with time-varying and distributed delays
- Stability analysis for neutral Markovian jump systems with partially unknown transition probabilities
- Parameter-dependent robust stability for uncertain Markovian jump systems with time delay
- Synchronization of delayed complex dynamical networks with impulsive and stochastic effects
- Reliable \(H_{\infty }\) filtering for discrete time-delay systems with randomly occurred nonlinearities via delay-partitioning method
- Global synchronization of complex networks with discrete time delays on time scales
- Stability and existence of periodic solutions for cellular neural networks with state dependent delays on time scales
- Analysis and synthesis of dynamical systems with time-delays
- Stability analysis for continuous systems with two additive time-varying delay components
- Mean square exponential stability of stochastic delayed Hopfield neural networks
- A delay-partitioning approach to the stability analysis of discrete-time systems
- Exponential stability criteria for discrete-time recurrent neural networks with time-varying delay
- Stability of Markovian jump neural networks with impulse control and time varying delays
- Improved criteria on delay-dependent stability for discrete-time neural networks with interval time-varying delays
- Stochastic state estimation for neural networks with distributed delays and Markovian jump
- An analysis of stability of a class of neutral-type neural networks with discrete time delays
- A delay partitioning approach to output feedback control for uncertain discrete time-delay systems with actuator saturation
- Stability of Markovian jump systems with generally uncertain transition rates
- Global asymptotic stability of a class of dynamical neural networks
- Stability analysis of delayed neural networks
- Stability of Genetic Networks With SUM Regulatory Logic: Lur'e System and LMI Approach
- New Delay-Dependent Stability Criteria and Stabilizing Method for Neutral Systems
- New Stability Criteria for Linear Discrete-Time Systems With Interval-Like Time-Varying Delays
This page was built for publication: Stability analysis of stochastic Markovian jump neural networks with different time scales and randomly occurred nonlinearities based on delay-partitioning projection approach
